addition, we will make the code publicly available, together with the paper

We thank the reviewers for their time and insightful comments on our paper. We respond to each reviewer(R) below. R1's comments cover only part of contribution (2), R3 also pointed out "The proposed fine-tuning phase to learn unseen M R1.decomposition necessity and CV AE comparisons: We emphasise that CV AE and other mentioned work can R2. Comparisons to IRM: First, IRM only considers single modality data. R3. (adversarial) data augmentation: Deep CAMA also benefits from adversarial training (Figure 10).